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Wastewater treatment plant improvement by smart sensors and computational intelligence (WAPSCIENCE)

Objective

The project aims to develop an integrated solution that will improve the efficiency of municipal and industrial wastewater treatment plants at comparatively small costs. Two workpackages will be executed in parallel: WPI refers to the development of a robust, smart, lowcost on-line-sensor for the measurement of the concentration of nitrate and ammonia in wastewater treatment plants (WWTPs). WP2 refers to the development of a self-adaptive system to identify abnormal situations, predict critical states of the process and generate warnings about malfunctions of sensors and control-circuits. Both workpackages include an applied research phase where the state of the art, the requirements and specifications as well as the design of the hardware and software will be accomplished. Furthermore they involve a development phase to implement and test the sensor unit and the self-adaptive system. In WP1 a number of problems will be faced: Membrane fouling, which will be faced by using a robust mechanical cleanable anti-fouling-membrane for which a patent has been applied for recently by one of the SME partners, HYDRION, To avoid falsification due to interactions, additional sensors for chloride and potassium will also be included and a mathematical algorithm for compensatiol!will be implemented in the sensor. For simple installation, the sensor will be equipped with a standard computer interface (USB or Bluetooth). In WP2 the development of a self-adaptive system will be based on Computational Intelligence to gain information about the present and future state of the plant and allow for automatic generation of predictive warnings and alarms. Predictions of state values will allow predictive feedback-control. System development will be based on commercially available software-tools and software-libraries but also new algorithms that will be developed. Based on the deliverables of WP1 and WP2, prototypes of the sensors in combination with the selfadaptive system will be inte

Field of science

  • /natural sciences/computer and information sciences/software/system software
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors/smart sensors
  • /engineering and technology/environmental engineering/water treatment processes/wastewater treatment processes
  • /natural sciences/chemical sciences/inorganic chemistry/inorganic compounds

Funding Scheme

Cooperative - SMEs-Co-operative research contracts

Coordinator

UNIVERSITY OF APPLIED SCIENCES COLOGNE - CAMPUS GUMMERSBACH
Address
Am Sandberg 1
Gummersbach
Germany

Participants (7)

HYDRION B.V.
Netherlands
Address
Vadaring 70B
Wageningen
ANORD CONTROL SYSTEMS LTD
Ireland
Address
Industrial Estate, Coes Road
Dundalk, Co. Louth
TECHNOR ENGINEERING LTD
Greece
Address
5, Komotinis Str. 18454
Nikea, Athens
EUDIG ELEKTRO UND UMWELTDIGITALTECHNIK AKTIENGESELLSCHAFT
Germany
Address
Hindenburgstr. 12
Dillenburg
UNIVERSITAET-GESAMTHOCHSCHULE-SIEGEN
Germany
Address
Hoelderlinstrasse 3
Siegen
THE QUESTOR CENTRE APPLIED TECHNOLOGY UNIT
United Kingdom
Address
Stranmillis Road
Belfast
RESEARCH ACADEMIC COMPUTER INSTITUTE
Greece
Address
61 Riga Feraiou
Patras